Geo Assist is a spatial library to manage spatial data in-memory.

a list of papers, code, and other resources focus on deep learning SLAM system

MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.

Tools for mapping stars and planets.

HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators

ROSMASTER X3 ROS Robot with Mecanum Wheel for Jetson NANO 4GB/ORIN NANO/ORIN NX/RaspberryPi 5

A Python library for Robotic Information Gathering

Library for low-cost navigation of small/IoT devices

Abismal is a mapper of FASTQ bisulfite-converted short reads (between 50 and 1000 bases) to a FASTA reference genome.

A indoor navigation app for Graphic Era Hill University using Dijkstra algorithm

Stochastic Triangular Mesh (STM) Mapping — an online dense mapping technique for mobile robots.

Management of lexicographic resources with the aim of builing a sense inventory. Collab with the ELEXIS project through ILC-CNR for my Bachelor Thesis in Digital Humanities. The Sense Inventory has been published as a resource in the Home Repository of ILC4CLARIN ⬇️

QWERTY 키보드 한영 자판 매핑 프로그램 / Mapping program for conversion between KO-EN on QWERTY keyboard

Library with reordering algorithms for the MPI_Cart_comm reorder flag

Application of Natural Language Processing using Cosine Similarity to leverage String Matching or Similarity between two data sources as part of Data Migration in Hospitality Industry

Fast, reliable and intuitive object mapping.

MapLib provides algorithms for generating mapping of processing elements to processor unities.

This repository is part of an Innovate UK AKT project, a collaboration between the University of Southampton and an industry client. It involved dataset curation, mobile self-localisation, 3D mapping and object detection.

국가지점번호 검색 사이트

Final projects of Intelligent Mobile Robotics gradutate course -- 2018 2nd semester